MLI-DTA: An interpretable multimodal framework with multi-level interactions for drug-target affinity prediction.
Drug-target affinity prediction provides a computational basis for virtual screening and drug repositioning optimization by estimating the binding strength between compounds and target proteins. Existing deep learning methods have evolved from early SMILES/amino acid sequence modeling to graph neural networks and multi...